Training. Following the setting of [1]}, we augment the data by random rotation ([\(-30^\circ \) , \(30^\circ \) ]), random scaling ([\(0.7\) , \(1.3\) ]), random translation ([\(-40\) , 40]), random horizontal flip and half body transform [2]}. Then we crop out each single person according to their ground-truth bounding boxes. These crops are resized to \(256\times 192\)  (or \(384\times 288\) ) and input to the HPE model.
